An artificial intelligence technology with the two-dimensional principal component analysis
(2DPCA) method is introduced into the early identification of rainstorm risks. The …

The retrieval of total chlorophyll content (chla+ b) per unit leaf area and unit ground area
was investigated for a boreal forest near Sudbury in northern Ontario, Canada. The retrieval …

Scientific analyses of urban flood risks are essential for evaluating urban flood insurance
and designing drainage projects. Although the current rainfall monitoring system in China …

un système qui acquiert des signaux hyperspectraux uniquement dans la direction au nadir
mais qui mesure dans deux autres directions en deux bandes spectrales, le rouge et le PIR …

With the development of computer technology, the technology based on computer machine
learning plays an important role in various fields. Using drones for collecting image data and …

An efficient lossy compression algorithm for multispectral images based on block Karhunen–
Loève transform (KLT) is proposed. First, a two-dimensional discrete wavelet transform is …

In this paper, we propose a method for compressing a still image using vector quantization
(VQ). Local fractal dimension (LFD) is computed to divided an image into variable block size …

In this paper, a high efficient adaptive LBG VQ (vector quantization) method is proposed,
which is an improved version of the expansion LBG VQ method [1](proposed in 2009) and …

Weather is a major contributing factor in aviation accidents, incidents and delays. Doppler
weather radar has emerged as a potent tool to observe weather. Aircraft carry an onboard …

In this paper a novel semifragile watermarking scheme for images with multiple bands is
presented. We propose to use the remote sensing image as a whole, using a vector …